Coriolis Ocean Database for Reanalysis
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Assessment of DUACS Sentinel-3A Altimetry Data in the Coastal Band of the European Seas: Comparison with Tide Gauge Measurements
remote sensing Article Assessment of DUACS Sentinel-3A Altimetry Data in the Coastal Band of the European Seas: Comparison with Tide Gauge Measurements Antonio Sánchez-Román 1,* , Ananda Pascual 1, Marie-Isabelle Pujol 2, Guillaume Taburet 2, Marta Marcos 1,3 and Yannice Faugère 2 1 Instituto Mediterráneo de Estudios Avanzados, C/Miquel Marquès, 21, 07190 Esporles, Spain; [email protected] (A.P.); [email protected] (M.M.) 2 Collecte Localisation Satellites, Parc Technologique du Canal, 8-10 rue Hermès, 31520 Ramonville-Saint-Agne, France; [email protected] (M.-I.P.); [email protected] (G.T.); [email protected] (Y.F.) 3 Departament de Física, Universitat de les Illes Balears, Cra. de Valldemossa, km 7.5, 07122 Palma, Spain * Correspondence: [email protected]; Tel.: +34-971-61-0906 Received: 26 October 2020; Accepted: 1 December 2020; Published: 4 December 2020 Abstract: The quality of the Data Unification and Altimeter Combination System (DUACS) Sentinel-3A altimeter data in the coastal area of the European seas is investigated through a comparison with in situ tide gauge measurements. The comparison was also conducted using altimetry data from Jason-3 for inter-comparison purposes. We found that Sentinel-3A improved the root mean square differences (RMSD) by 13% with respect to the Jason-3 mission. In addition, the variance in the differences between the two datasets was reduced by 25%. To explain the improved capture of Sea Level Anomaly by Sentinel-3A in the coastal band, the impact of the measurement noise on the synthetic aperture radar altimeter, the distance to the coast, and Long Wave Error correction applied on altimetry data were checked. -
The CMCC Global Ocean Physical Reanalysis System (C-GLORS
Research Papers Issue RP0211 The CMCC Global Ocean Physical December 2013 Reanalysis System (C-GLORS) Divisione Applicazioni Numeriche e Scenari version 3.1: Configuration and basic validation By Andrea Storto SUMMARY Ocean reanalyses are data assimilative simulations designed Junior Scientist [email protected] for a wide range of climate applications and downstream applications. An eddy-permitting global ocean reanalysis system is in continuous and Simona Masina Head of ANS Division development at CMCC and we describe here the configuration of the [email protected] reanalysis system (version 3.1) recently used to produce an ocean reanalysis for the altimetry era (1993-2011), which was released in December 2013. The system includes i) a three-dimensional variational analysis system able to assimilate all the in-situ observations of temperature and salinity along with altimetry data and ii) a weekly model integration performed by the NEMO ocean model coupled with the LIM2 sea-ice model and forced by the ERA-Interim atmospheric reanalysis. We detail the configuration of both the components. The validation results performed in a coordinated way are summarized in the paper, and suggest that the overall performance of the reanalysis is satisfactory, while a few problems linked to the sea-ice concentration minima and the sea level data assimilation still remain and are being improved for the next release. Ocean Climate The research leading to these results has received funding from the Italian Ministry of Education, University and Research and the Italian Ministry of Environment, Land and Sea under the GEMINA project and from the European Commission Copernicus programme, previously known as GMES programme, under the MyOcean and MyOcean2 projects. -
The CORA Dataset: Validation and Diagnostics of Ocean Temperature and Salinity in Situ Measurements C
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Ocean Sci. Discuss., 9, 1273–1312, 2012 www.ocean-sci-discuss.net/9/1273/2012/ Ocean Science doi:10.5194/osd-9-1273-2012 Discussions © Author(s) 2012. CC Attribution 3.0 License. This discussion paper is/has been under review for the journal Ocean Science (OS). Please refer to the corresponding final paper in OS if available. The CORA dataset: validation and diagnostics of ocean temperature and salinity in situ measurements C. Cabanes1, A. Grouazel1, K. von Schuckmann2, M. Hamon3, V. Turpin4, C. Coatanoan4, S. Guinehut5, C. Boone5, N. Ferry6, G. Reverdin2, S. Pouliquen3, and P.-Y. Le Traon3 1Division technique de l’INSU, UPS855, CNRS, Plouzane,´ France 2CNRS, LOCEAN, Paris, France 3Laboratoire d’Oceanographie´ Spatiale, IFREMER, Plouzane,´ France 4SISMER, IFREMER, Plouzane,´ France 5CLS-Space Oceanography Division, Ramonville Saint-Agne, France 6MERCATOR OCEAN, Ramonville St Agne, France Received: 1 March 2012 – Accepted: 8 March 2012 – Published: 21 March 2012 Correspondence to: C. Cabanes ([email protected]) Published by Copernicus Publications on behalf of the European Geosciences Union. 1273 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract The French program Coriolis as part of the French oceanographic operational sys- tem produces the COriolis dataset for Re-Analysis (CORA) on a yearly basis which is based on temperature and salinity measurements on observed levels from different 5 data types. The latest release of CORA covers the period 1990 to 2010. To qualify this dataset, several tests have been developed to improve in a homogeneous way the quality of the raw dataset and to fit the level required by the physical ocean re-analysis activities (assimilation and validation). -
Coriolis Quality Control Manual
direction de la technologie marine et des systèmes d'information département informatique et données marines Christine Coatanoan Loïc Petit De La Villéon March 2005 – COR-DO/DTI-RAP/04-047 Coriolis data centre Coriolis-données In-situ data quality control Contrôle qualité des données in-situ Coriolis data center In-situ data quality control procedures Contrôle qualité des données in-situ © IFREMER-CORIOLIS Tous droits réservés. La loi du 11 mars 1957 interdit les copies ou reproductions destinées à une utilisation collective. Toute représentation ou reproduction intégrale ou partielle faite par quelque procédé que ce soit (machine électronique, mécanique, à photocopier, à enregistrer ou tout autre) sans le consentement de l'auteur ou de ses ayants cause, est illicite et constitue une contrefaçon sanctionnée par les articles 425 et suivants du Code Pénal. © IFREMER-CORIOLIS All rights reserved. No part of this work covered by the copyrights herein may be reproduced or copied in any form or by any means – electronic, graphic or mechanical, including photocopying, recording, taping or information and retrieval systems - without written permission. COR-DO/DTI-RAP/04-047 25/03/2005 Coriolis-données Titre/ Title : In-situ data quality control procedures Contrôle qualité des données in-situ Titre traduit : Reference : COR-DO/DTI-RAP/04-047 nombre de pages 15 Date : 25/03/2005 bibliographie (Oui / Non) Version : 1.3 illustration(s) (Oui / Non) langue du rapport Diffusion : libre restreinte interdite Nom Date Signature Diffusion Attribution Nb ex. Préparé par : Christine Coatanoan 15/05/2004 Loïc Petit De La Villéon Vérifié par : Thierry Carval 04/06/2004 COR-DO/DTI-RAP/04-047 25/03/2005 Résumé : Ce document décrit l’ensemble des tests de contrôle qualité appliqués aux données gérées par le centre de données Coriolis Abstract : This document describes the quality control tests applied on the in situ data processed at the Coriolis Data Centre Mots-clés : Contrôle qualité. -
Coriolis Effect
Project ATMOSPHERE This guide is one of a series produced by Project ATMOSPHERE, an initiative of the American Meteorological Society. Project ATMOSPHERE has created and trained a network of resource agents who provide nationwide leadership in precollege atmospheric environment education. To support these agents in their teacher training, Project ATMOSPHERE develops and produces teacher’s guides and other educational materials. For further information, and additional background on the American Meteorological Society’s Education Program, please contact: American Meteorological Society Education Program 1200 New York Ave., NW, Ste. 500 Washington, DC 20005-3928 www.ametsoc.org/amsedu This material is based upon work initially supported by the National Science Foundation under Grant No. TPE-9340055. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation. © 2012 American Meteorological Society (Permission is hereby granted for the reproduction of materials contained in this publication for non-commercial use in schools on the condition their source is acknowledged.) 2 Foreword This guide has been prepared to introduce fundamental understandings about the guide topic. This guide is organized as follows: Introduction This is a narrative summary of background information to introduce the topic. Basic Understandings Basic understandings are statements of principles, concepts, and information. The basic understandings represent material to be mastered by the learner, and can be especially helpful in devising learning activities in writing learning objectives and test items. They are numbered so they can be keyed with activities, objectives and test items. Activities These are related investigations. -
Coriolis, a French Project for Operational Oceanography
Coriolis, a French project for operational oceanography S Pouliquen*1,T Carval*1,L Petit de la Villéon*1, L Gourmelen*2, Y Gouriou*3 1 Ifremer Brest France 2 Shom Brest France 3IRD Brest France Abstract The seven French agencies concerned by ocean research are developing together a strong capability in operational oceanography based on a triad including satellite altimetry (JASON), numerical modelling with assimilation (MERCATOR), and in-situ data (CORIOLIS). The CORIOLIS project aims to build a pre-operational structure to collect, validate and distribute ocean data (temperature/salinity profiles and currents) to the scientific community and modellers. The four goals of CORIOLIS are: • To build up a data management centre, part of the ARGO network for the GODAE experiment, able to provide quality-controlled data in real time and delay modes; • To contribute to ARGO floats deployment mainly in the Atlantic with about 300 floats during the 2001-2005 period; • To develop and improve the technology of the profiling Provor floats as a contribution to Argo; • To integrate into CORIOLIS other data presently collected at sea by French agencies from surface drifting buoys, PIRATA deep sea moorings, oceanographic research vessels (XBT, thermosalinograph and ADCP transmitted on a daily basis). By the end of 2005, recommendations will be done to transform the CORIOLIS activity into a permanent, routine contribution to ocean measurement, in accordance with international plans that will follow the ARGO/GODAE experiment. Keywords: In-Situ, Operational Oceanography, Argo, Data Exchange, Mersea * Corresponding author, email: [email protected] * Corresponding author, email: [email protected] * Corresponding author, email: [email protected] * Corresponding author, email: [email protected] * Corresponding author, email: [email protected] 1 1. -
Evaluation of Four Global Ocean Reanalysis Products for New Zealand Waters–A Guide for Regional Ocean Modelling
New Zealand Journal of Marine and Freshwater Research ISSN: 0028-8330 (Print) 1175-8805 (Online) Journal homepage: https://www.tandfonline.com/loi/tnzm20 Evaluation of four global ocean reanalysis products for New Zealand waters–A guide for regional ocean modelling Joao Marcos Azevedo Correia de Souza, Phellipe Couto, Rafael Soutelino & Moninya Roughan To cite this article: Joao Marcos Azevedo Correia de Souza, Phellipe Couto, Rafael Soutelino & Moninya Roughan (2020): Evaluation of four global ocean reanalysis products for New Zealand waters–A guide for regional ocean modelling, New Zealand Journal of Marine and Freshwater Research, DOI: 10.1080/00288330.2020.1713179 To link to this article: https://doi.org/10.1080/00288330.2020.1713179 Published online: 22 Jan 2020. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=tnzm20 NEW ZEALAND JOURNAL OF MARINE AND FRESHWATER RESEARCH https://doi.org/10.1080/00288330.2020.1713179 RESEARCH ARTICLE Evaluation of four global ocean reanalysis products for New Zealand waters–A guide for regional ocean modelling Joao Marcos Azevedo Correia de Souza a, Phellipe Coutoa, Rafael Soutelinob and Moninya Roughanc,d aA division of Meteorological Service of New Zealand, MetOcean Solutions, Raglan, New Zealand; bOceanum Ltd, Raglan, New Zealand; cMeteorological Service of New Zealand, Auckland, New Zealand; dSchool of Mathematics and Statistics, University of New South Wales, Sydney, NSW, Australia ABSTRACT ARTICLE HISTORY A comparison between 4 (near) global ocean reanalysis products is Received 10 June 2019 presented for the waters around New Zealand. -
Quarterly Newsletter – Special Issue with Coriolis
Mercator Ocean - CORIOLIS #37 – April 2010 – Page 1/55 Quarterly Newsletter - Special Issue Mercator Océan – Coriolis Special Issue Quarterly Newsletter – Special Issue with Coriolis This special issue introduces a new editorial line with a common newsletter between the Mercator Ocean Forecasting Center in Toulouse and the Coriolis Infrastructure in Brest. Some papers are dedicated to observations only, when others display collaborations between the 2 aspects: Observations and Modelling/Data assimilation. The idea is to wider and complete the subjects treated in our newsletter, as well as to trigger interactions between observations and modelling communities Laurence Crosnier, Sylvie Pouliquen, Editor Editor Editorial – April 2010 Greetings all, Over the past 10 years, Mercator Ocean and Coriolis have been working together both at French, European and international level for the development of global ocean monitoring and forecasting capabilities. For the first time, this Newsletter is jointly coordinated by Mercator Ocean and Coriolis teams. The first goal is to foster interactions between the french Mercator Ocean Modelling/Data Asssimilation and Coriolis Observations communities, and to a larger extent, enhance communication at european and international levels. The second objective is to broaden the themes of the scientific papers to Operational Oceanography in general, hence reaching a wider audience within both Modelling/Data Asssimilation and Observations groups. Once a year in April, Mercator Ocean and Coriolis will publish a common newsletter merging the Mercator Ocean Newsletter on the one side and the Coriolis one on the other side. Mercator Ocean will still publish 3 other issues per year of its Newsletter in July, October and January each year, more focused on Ocean Modeling and Data Assimilation aspects. -
Ocean Surface Circulation
Ocean surface circulation Recall from Last Time The three drivers of atmospheric circulation we discussed: • Differential heating • Pressure gradients • Earth’s rotation (Coriolis) Last two show up as direct forcing of ocean surface circulation, the first indirectly (it drives the winds, also transport of heat is an important consequence). Coriolis In northern hemisphere wind or currents deflect to the right. Equator In the Southern hemisphere they deflect to the left. Major surfaceA schematic currents of them anyway Surface salinity A reasonable indicator of the gyres 31.0 30.0 32.0 31.0 31.030.0 33.0 33.0 28.0 28.029.0 29.0 34.0 35.0 33.0 33.0 33.034.035.0 36.0 34.0 35.0 37.0 35.036.0 36.0 34.0 35.0 35.0 35.0 34.0 35.0 37.0 35.0 36.0 36.0 35.0 35.0 35.0 34.0 34.0 34.0 34.0 34.0 34.0 Ocean Gyres Surface currents are shallow (a few hundred meters thick) Driving factors • Wind friction on surface of the ocean • Coriolis effect • Gravity (Pressure gradient force) • Shape of the ocean basins Surface currents Driven by Wind Gyres are beneath and driven by the wind bands . Most of wind energy in Trade wind or Westerlies Again with the rotating Earth: is a major factor in ocean and Coriolisatmospheric circulation. • It is negligible on small scales. • Varies with latitude. Ekman spiral Consider the ocean as a Wind series of thin layers. Friction Direction of Wind friction pushes on motion the top layers. -
Ch.1: Basics of Shallow Water Fluid ∂
AOS611Chapter1,2/16/16,Z.Liu 1 Ch.1: Basics of Shallow Water Fluid Sec. 1.1: Basic Equations 1. Shallow Water Equations on a Sphere We start with the shallow water fluid of a homogeneous density and focus on the effect of rotation on the motion of the water. Rotation is, perhaps, the most important factor that distinguishes geophysical fluid dynamics from classical fluid dynamics. There are four basic equations involved in a homogeneous fluid system. The first is the mass equation: 1 d u 0 (1.1.1) dt 3 3 where 3 i x j y k z , u3 (u,v, w) . The other three equations are the momentum equations, which, in its 3-dimensional vector form can be written as: du 1 3 2Ù u p g F dt 3 3 (1.1.2) d where u dt t 3 3 On the earth, it is more convenient to cast the equations on the spherical coordinate with ,,r being the longitude, latitude and radians, respectively. That is: Copyright 2013, Zhengyu Liu AOS611Chapter1,2/16/16,Z.Liu 2 1 d 1 u 1 (vcos) w 0 dt rcos r cos r du u 1 p (2 )(v sin wcos ) F dt rcos r cos (1.1.3) dv u wv 1 p (2 )usin F dt rcos r r 2 dw u v 1 p (2 )u cos g Fr dt r cos r r This is a complex set of equations that govern the fluid motion from ripples, turbulence to planetary waves. For the atmosphere and ocean, many approximations can be made. -
North Atlantic Extratropical and Subpolar Gyre Variability During the Last 120 Years: a Gridded Dataset of Surface Temperature, Salinity, and Density
Ocean Dynamics https://doi.org/10.1007/s10236-018-1240-y North Atlantic extratropical and subpolar gyre variability during the last 120 years: a gridded dataset of surface temperature, salinity, and density. Part 1: dataset validation and RMS variability Gilles Reverdin1 & Andrew Ronald Friedman2 & Léon Chafik3 & Naomi Penny Holliday4 & Tanguy Szekely5 & Héðinn Valdimarsson6 & Igor Yashayaev7 Received: 5 September 2018 /Accepted: 26 November 2018 # Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We present a binned annual product (BINS) of sea surface temperature (SST), sea surface salinity (SSS), and sea surface density (SSD) observations for 1896–2015 of the subpolar North Atlantic between 40° N and 70° N, mostly excluding the shelf areas. The product of bin averages over spatial scales on the order of 200 to 500 km, reproducing most of the interannual variability in different time series covering at least the last three decades or of the along-track ship monitoring. Comparisons with other SSS and SST gridded products available since 1950 suggest that BINS captures the large decadal to multidecadal variability. Comparison with the HadSST3 SST product since 1896 also indicates that the decadal and multidecadal variability is usually well-reproduced, with small differences in long-term trends or in areas with marginal data coverage in either of the two products. Outside of the Labrador Sea and Greenland margins, interannual variability is rather similar in different seasons. Variability at periods longer than 15 years is a large part of the total interannual variability, both for SST and SSS, except possibly in the south- western part of the domain. -
Main Processes of the Atlantic Cold Tongue Interannual Variability Yann Planton, Aurore Voldoire, Hervé Giordani, Guy Caniaux
Main processes of the Atlantic cold tongue interannual variability Yann Planton, Aurore Voldoire, Hervé Giordani, Guy Caniaux To cite this version: Yann Planton, Aurore Voldoire, Hervé Giordani, Guy Caniaux. Main processes of the Atlantic cold tongue interannual variability. Climate Dynamics, Springer Verlag, 2018, 50 (5-6), pp.1495-1512. 10.1007/s00382-017-3701-2. hal-01867602 HAL Id: hal-01867602 https://hal.archives-ouvertes.fr/hal-01867602 Submitted on 4 Sep 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Y. Planton et al. Climate Dynamics DOI 10.1007/s00382-017-3701-2 Main processes of the Atlantic cold tongue interannual variability Yann Planton, Aurore Voldoire, Hervé Giordani, Guy Caniaux CNRM-UMR1357, Météo-France/CNRS, CNRM-GAME, Toulouse, France e-mail: [email protected] Abstract The interannual variability of the Atlantic cold tongue (ACT) is studied by means of a mixed- layer heat budget analysis. A method to classify extreme cold and warm ACT events is proposed and applied to ten various analysis and reanalysis products. This classification allows five cold and five warm ACT events to be selected over the period 1982-2007.